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Ameeta Roy leads the Solution Consulting teams for SaaS Cloud Applications at Oracle India. Her team advises clients on their software investments in the cloud and the digital transformation of all aspects of their ... Full Profile

Ameeta Roy leads the Solution Consulting teams for SaaS Cloud Applications at Oracle India. Her team advises clients on their software investments in the cloud and the digital transformation of all aspects of their business including Finance, Supply Chain management, Enterprise Performance Management, Human Capital Management and Customer Experience creating superlative experiences for employees and clients alike. Ameetaâ€™s career spans assignments in software development , off shore delivery of projects to Fortune 500 clients and in client facing roles where she has helped clients architect, design, build and troubleshoot software systems. She has also managed large deployments of Systems, Middleware, Database , Email and Private Clouds for Financial Services clients as a Delivery Executive, besides participating in Strategic Technology initiatives shaping business directions. She has, over her career spanning nearly two decades, seen the key shifts in technology that have disrupted the world and this has kept her excited about her work and the possibilities of a world run by technology, leaving the human mind to pursuits that are uniquely human.

We have grown up in a world of comic books and science fiction with eerie plots of machines learning, coming to life, becoming super-villains and turning on humanity. Computers participating in game shows and smartphone personal assistants may have grabbed public attention but machine learning algorithms, now being incorporated into business applications, promise to do a lot more. In the world of cloud delivered enterprise applications, the right intelligence powered by internal and external data sources and fueled by machine learning can hugely improve business outcomes. Insights processed and derived from web scale data, context that is synthesized through life events, real time actions, social activities and much more can help identify and serve up in real time the right individualized outcomes. Sophisticated decision science finally meets raw, disruptive data science, and when it does, there is nothing artificial about the intelligence, just better understanding of client sentiments, better recommendations and better business outcomes.

Key points of discussion:

Machine learning techniques and their ability to adapt on demand.

How applications adapt and learn to changing needs and patters of the user.

How innovative services can be delivered faster than by competition by securely connecting , analyzing, integrating real time IoT data , at scale, between connected devices and enterprise applications

How HR practitioners can benefit from Machine Learning, and be able to identify best-fit candidates in the shortest time , reduce hiring times.

How smart, contextual offers and recommended actions for HR recruiters or business heads, can help companies be more successful.

How machine learning and analytics will impact the masses â€“ now that we know it can help improve decision-making, fueled by data from real-time analytics and behavioral inputs.